Apache Druid v25.0 Documentation
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Querying
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2023-05-28 20:58:08
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Configuration
Configuration reference
Extensions
Logging
Data management
Data updates
Compaction
Overview
Automatic compaction
Data deletion
Schema changes
Design
Processes and servers
ZooKeeper
Metadata storage
Segments
Deep storage
Design
Development
JavaScript functionality
Creating extensions
Developing on Druid
Experimental features
Versioning
Build from source
Getting started
Single server deployment
Clustered deployment
Quickstart (local)
Introduction to Apache Druid
Hidden
Bloom Filter
Indexing Service
Microsoft Azure
Basic Security
Apache Druid vs SQL-on-Hadoop
GCE Extensions
Prometheus Emitter
Apache Kafka Lookups
Protobuf
Realtime Process
Native batch (simple)
MiddleManager Process
Select
OpenTSDB Emitter
Druid Redis Cache
S3-compatible
HDFS
T-Digest Quantiles Sketch module
Ambari Metrics Emitter
StatsD Emitter
ORC Extension
Coordinator Process
Stats aggregator
Router Process
Cached Lookup Module
Moment Sketches for Approximate Quantiles module
DataSketches Quantiles Sketch module
Apache Cassandra
Approximate Histogram aggregators
Indexer Process
Apache Druid vs Elasticsearch
DataSketches HLL Sketch module
Apache Druid vs Kudu
Globally Cached Lookups
InfluxDB Line Protocol Parser
Firehose (deprecated)
Kubernetes
Broker
Druid AWS RDS Module
Druid pac4j based Security extension
Overlord Process
Apache Ranger Security
Cardinality/HyperUnique aggregators
Authentication and Authorization
Apache Druid vs. Key/Value Stores (HBase/Cassandra/OpenTSDB)
Microsoft SQLServer
Test Stats Aggregators
Timestamp Min/Max aggregators
Graphite Emitter
Peons
Google Cloud Storage
Thrift
DistinctCount Aggregator
DataSketches Theta Sketch module
kubernetes
Kafka Emitter
Simple SSLContext Provider Module
PostgreSQL Metadata Store
DataSketches extension
DataSketches Tuple Sketch module
MySQL Metadata Store
Historical Process
Apache Druid vs Spark
Rackspace Cloud Files
Apache Druid vs Redshift
Aliyun OSS
Materialized View
Apache Parquet Extension
Kerberos
Moving Average Query
Apache Avro
InfluxDB Emitter
Ingestion
Data rollup
Ingestion spec
Data model
Data formats
Partitioning
Ingestion
Schema design tips
Batch ingestion
Migrate from firehose
Native batch: input sources
Native batch
Hadoop-based
SQL-based ingestion 🆕
Task reference
Reference
Security
Overview
Examples
Troubleshooting FAQ
Known issues
API
Key concepts
Stream ingestion
Apache Kafka supervisor
Apache Kafka operations
Amazon Kinesis
Apache Kafka ingestion
Misc
Papers
Operations
Java runtime
Web console
Misc
pull-deps tool
insert-segment-to-db tool
Export Metadata Tool
reset-cluster tool
dump-segment tool
Content for build.sbt
Metadata Migration
Deep storage migration
Monitoring
Rolling updates
API reference
Using rules to drop and retain data
Request logging
Alerts
High availability
Working with different versions of Apache Hadoop
Metrics
Performance tuning
Segment size optimization
Mixed workloads
HTTP compression
Basic cluster tuning
Automated metadata cleanup
Security
Security overview
TLS support
Password providers
Dynamic Config Providers
User authentication and authorization
LDAP auth
Querying
Concepts
Query caching
Datasources
Multitenancy
Multi-value dimensions
Using query caching
Query context
Nested columns
Joins
Lookups
Druid SQL
Druid SQL API
Operators
Native queries
JSON functions
Scalar functions
SQL query translation
Query execution
SQL query context
Multi-value string functions
SQL metadata tables
SQL data types
Aggregation functions
Overview and syntax
JDBC driver API
All functions
Troubleshooting
Native query components
Sorting and limiting (groupBy)
Sorting (topN)
Dimensions
Having filters (groupBy)
Expressions
Filters
Post-aggregations
Aggregations
Granularities
String comparators
Spatial filters
Virtual columns
Native query types
DatasourceMetadata
SegmentMetadata
Search
TimeBoundary
TopN
Timeseries
GroupBy
Scan
Tutorials
Convert ingestion spec to SQL
Theta sketches
Deleting data
Writing an ingestion spec
Kerberized HDFS deep storage
Load from Apache Kafka
Roll-up
Tutorial: Run with Docker
Load files using SQL 🆕
Load from Apache Hadoop
Jupyter Notebook tutorials
Load files natively
Updating existing data
Compacting segments
Querying data
Configuring data retention
Transforming input data
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